Nico Sneeuw
Biographic Data
| ID | 7993065 |
|---|---|
| NAME | Nico Sneeuw |
| GIVEN NAMES | Nico |
| FAMILY NAME | Sneeuw |
| SIGNATURE | SNEEUW N |
| AFFILIATIONS | University of Stuttgart |
| ORCID | 0000-0003-1796-0131 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
One-step estimation of non-seasonal terrestrial water storage variation in Southeastern China
Accurate estimation of non-seasonal signals (NSSs) of Terrestrial Water Storage Anomaly (TWSA) from Gravity Recovery and Climate Experiment monthly gravity field models is essential for identifying and understanding extreme hydrological phenomena. However, significant north-south striped noise in the models necessitates spectral filtering before estimating NSSs, resulting in signal attenuation and leakage. In this paper, we propose a one-step app…
Re-assessing global water storage trends from GRACE time series
Monitoring changes in freshwater availability is critical for human society and sustainable economic development. To identify regions experiencing secular change in their water resources, many studies compute linear trends in the total water storage (TWS) anomaly derived from the Gravity Recovery and Climate Experiment (GRACE) mission data. Such analyses suggest that several major water systems are under stress (Rodell et al 2009 Nature 460 999–1…
No prominent works on this page.
Re-assessing global water storage trends from GRACE time series
Monitoring changes in freshwater availability is critical for human society and sustainable economic development. To identify regions experiencing secular change in their water resources, many studies compute linear trends in the total water storage (TWS) anomaly derived from the Gravity Recovery and Climate Experiment (GRACE) mission data. Such analyses suggest that several major water systems are under stress (Rodell et al 2009 Nature 460 999–1…
One-step estimation of non-seasonal terrestrial water storage variation in Southeastern China
Accurate estimation of non-seasonal signals (NSSs) of Terrestrial Water Storage Anomaly (TWSA) from Gravity Recovery and Climate Experiment monthly gravity field models is essential for identifying and understanding extreme hydrological phenomena. However, significant north-south striped noise in the models necessitates spectral filtering before estimating NSSs, resulting in signal attenuation and leakage. In this paper, we propose a one-step app…
Climatology (2 works) · Environmental Science (2 works) · Geography (2 works) · Geology (2 works) · Geophysics and Gravity Measurements (2 works) · Oceanography (2 works) · Anomaly (physics (1 work) · Archaeology (1 work) · Atmospheric sciences (1 work) · China (1 work)